Gareth Davies

Gareth Davies
Sencillo Research Ltd; Kwiziq Ltd; Beat Fitness Games Ltd

PhD (Experimental Physics)

About

5
Publications
1,491
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
18
Citations
Introduction
Current research focuses on ML techniques in NLP and time series inverse problems. Since March, I've been working pro bono on COVID-19. I developed a new method for outbreak severity estimation; and proved that vitamin D deficiency is the dominant risk factor in poor COVID-19 outcomes. Spare time: theoretical physics research (quantum gravitation, cosmology & black holes). Physics BSc, Medical Physics PhD (Imperial). Novel ways to solve the EM inverse problem for MCG/MEG.
Education
July 1991 - June 1994
Imperial College London
Field of study
  • Medical Physics
August 1988 - June 1991
Imperial College London
Field of study
  • Physics

Publications

Publications (5)
Article
Full-text available
UK Biobank analyses concluded that COVID-19 risk, particularly higher risk in ethnic minorities, was not explained by vitamin D.[1–10] Hastie, et al. dismissed previous critiques, responding that their analyses were "…as powerful as any to date".[8] However, the reported statistical significance and high precision are illusory; these papers used un...
Article
Serious Statistical Flaws in Hastie, et al., Vitamin D concentrations and COVID-19 infection in UK Biobank Analysis Gareth Davies (https://orcid.org/0000-0002-8901-0680) Richard B. Mazess (https://orcid.org/0000-0001-6647-4311) Linda L. Benskin (https://orcid.org/0000-0002-6096-3971) UK Biobank analyses concluded that COVID-19 risk, particularly...
Preprint
Full-text available
We demonstrate that studies investigating Vitamin D concentrations and COVID-19 using Biobank data by Hastie, et al., lacked power, suffered low precision and high bias, used flawed models, and contained many serious statistical errors. These can be summarised into three areas: 1. Mislabelled data artificially inflated the control set, creating an...
Preprint
We analyse global data for COVID-19 deaths and recoveries and show that outbreak severity displays a striking latitude relationship with a northern hemisphere bias. Transmission rates can be explained by seasonal weather conditions, but this does not account for observed variations in fatality rates. Many factors point to Vitamin D as a candidate e...
Preprint
Full-text available
Determining the severity of a novel pathogen in the early stages is difficult in the absence of reliable data. The pattern of outbreaks for COVID-19 across the globe have differed markedly above and below +40N latitudes, suggesting very different levels of severity, but countries worldwide have implemented the same lockdown strategies. Existing met...

Network

Cited By

Projects

Project (1)
Project
Strategic pandemic analysis methods; Causative role of vitamin D deficiency in COVID19 outcomes; biochemical mechanisms of action.